Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries, and they foster an environment where everyone feels they belong and can excel.
Design, develop and deploy advanced statistical or machine learning models for high-impact business use cases.
Lead end-to-end delivery of data science initiatives from problem framing and model design through deployment.
Partner with cross-functional teams to integrate models into applications and proactively identify and solve problems.
Forward Financing is a financial technology company based in Boston, Massachusetts. They are on a mission to unlock the capital that fuels small businesses across America and they have team members throughout the United States, Dominican Republic, and Canada.
Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
Orchestrating and automating complex data and analytic pipelines
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
Design models and systems to automate and optimize claims handling.
Partner with product and engineering teams to translate claims workflows into ML solutions.
Prototype production-ready models and data pipelines.
Assured is modernizing the insurance industry by providing large insurers with software solutions. They are known for a dynamic and collaborative environment where employees can make a significant impact.
Collaborate with an agile team focused on product development in Data Science.
Analyze and prepare complex datasets for client projects.
Evaluate current market developments in Advanced Analytics and Machine Learning.
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against a role's core requirements. The system identifies top-fitting candidates, and this shortlist is then shared directly with the hiring company.
You’ll own the development and testing of deep learning architectures that define how Tilt understands risk.
You’ll partner with peers in Engineering and Product to ensure our models are effective and scalable in the real world.
You’ll look past the symptoms of a data problem to find the root cause and turn complex findings into clear, actionable solutions for our lending platform.
Tilt is creating a new credit system that backs the working, whatever they're working toward. They have millions of customers worldwide and they are changing how people access financial products. At Tilt, they see a side of people that traditional lenders miss.
Lead large-scale projects from ideation through enterprise impact.
Implement scalable, bug-free, and well-tested solutions that reduce complexity.
Proactively engage with stakeholders across all levels to align data science efforts.
Counterpart Health aims to boost healthcare quality and patient outcomes through Counterpart Assistant, an innovative tool. They support Primary Care Physicians (PCPs), enabling improved outcomes for patients at a reduced cost through early diagnosis and chronic condition management.
Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
Research new types of fraud and develop new SentiLink products around identity verification.
Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
SentiLink provides identity and risk solutions, empowering institutions and individuals to transaction with confidence. They are building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
Design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
Conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
Implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. They deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Design, build, and deploy advanced analytical models to drive insights and decision-making across teams.
Develop predictive models for forecasting, churn, lead scoring, pipeline health, and customer lifetime value.
Translate business questions into data science problems and experimentation strategies.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design, implement and validate high-reliability, distributed platforms for machine learning, natural language processing, and LLMs.
Create, debug, interpret and improve production machine learning and natural language processing models.
Build the tools and validation processes that help Counterpart translate insights into action at scale.
Counterpart Health transforms healthcare and improves patient care with its innovative primary care tool, Counterpart Assistant. They are a subsidiary of Clover Health, with an exceptional team of value-based care and technology experts, driving value-based care at the speed of software.
Lead an innovative team to enhance the data lifecycle supporting machine learning.
Facilitate the operationalization of high-impact data strategies, streamlining workflows for efficiency and quality.
Champion the integration of advanced data practices, unlocking internal resources to drive innovation.
Jobgether is a platform that connects job seekers with companies. They use an AI-powered matching process to ensure applications are reviewed quickly and fairly against the role's core requirements.
Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
Develop and maintain backend services using Python, focusing on AI-driven applications.
Design and implement APIs for seamless integration with AI models and services.
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans. They are rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve.
Build, deploy, and maintain end-to-end machine learning models to drive personalization, recommendations, inventory optimization, and logistics.
Collaborate cross-functionally with product, engineering, and ops to translate business needs into scalable ML solutions.
Own the full ML pipeline: from data exploration and feature engineering to model training, evaluation, and productionization.
Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. They act as your personal assistant for healthy living by recommending and delivering healthy groceries, easy recipes, and essential supplements. Hungryroot is a distributed team of top talent across 28+ U.S. states with a remote-first culture that emphasizes collaboration, team-building, and flexibility.
Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions
Connect disparate datasets (e.g. claims, contract rates, demographics data) to empower internal and external stakeholders
Build and maintain data engineering systems that support AI use cases, including scalable ingestion pipelines, feature generation, and downstream products
Turquoise Health aims to make healthcare pricing simpler, more transparent, and lower cost. They are a Series B startup backed by top VCs with an accomplished group of folks with a passion for improving healthcare.
Design, develop, and enhance ML/AI models which mainly power Search and Recommendation.
Process historical data, search queries, product catalog, and images to extract hidden relations and features.
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data.
Bloomreach is building the world’s premier agentic platform for personalization, revolutionizing how businesses connect with their customers. They power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.
Design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency.
Build intelligent AI agents that can reason, plan, and interact across workflows to enhance automation and decision-making.
Develop personalization and recommendation systems that deliver dynamic, user-centric experiences across our product offerings.
OnePay is a consumer fintech company trusted by millions of Americans. They provide an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place and are backed by Walmart and Ribbit Capital.
Design, build, and deploy machine learning solutions for audience targeting, lookalike generation, and individual propensity scoring
Own the complete ML lifecycle - from exploratory analysis and experimentation all the way through production deployment and operational monitoring
Develop and ship production ML systems spanning self-supervised representation learning, vector similarity search, and supervised classifiers
Tunnl is leveraging AI to erase the boundaries between insights, audiences, and outcomes to ensure every piece of intelligence can be acted on. They combine the judgment of seasoned data experts with the power of artificial intelligence to help organizations find and connect with the people who matter most.
Taking on technical responsibility in the field of AI/Data Science.
They are looking for a Senior Data Scientist to implement AI solutions for clients, impacting sectors like public administration. They value diverse perspectives and collaborative approaches to data-driven solutions in a growing and dynamic team.